Global Product Manager — Radiology PACS & AI

Philips; Massachusetts; On-site; USD 140,000 - 223,000; Full time

Job summary

Philips is seeking a Product Manager for the PACS Client in Radiology Informatics to drive the roadmap and collaborate with global teams shaping the imaging workflow of our radiology solutions.

You will define use cases with North American customers, partner with R&D, marketing and architects, and represent Philips at industry events while advancing AI-enabled medical imaging capabilities.

Qualifications

• Bachelor's/Master's degree in a relevant field with 10+ years in clinical applications or product management
• Deep understanding of Radiology workflow and PACS domain expertise
• Experience in AI technology and its application in medical imaging workflows
• Experience working across organizational boundaries in a global organization
• Collaborative spirit with international experience and cultural sensitivity
• Must be able to meet the required physical, cognitive and environmental job requirements

Responsibilities

• Drive product innovation roadmap based on market segmentation and customer signals
• Work with global multi-disciplinary teams including marketing, clinical consultants, R&D and architects
• Collaborate with North American customers to define use cases and review requirements
• Act as a thought leader and industry spokesperson at Philips and at tradeshows

Skills

Radiology workflow

PACS domain expertise

AI in medical imaging

Cross-functional collaboration

Global/international experience

Structured, analytical

Education

Bachelor's/Master's degree in Business Admin, Marketing, Engineering, Product Management or equivalent

Job description

Philips is seeking a Product Manager for the PACS Client in Radiology Informatics to drive the roadmap and collaborate with global teams shaping the imaging workflow of our radiology solutions.

You will define use cases with North American customers, partner with R&D, marketing and architects, and represent Philips at industry events while advancing AI-enabled medical imaging capabilities.